Automated Driving Maneuver Decision Logic
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Solution Overview
Problem
Existing automated driving systems face challenges in resolving the braking/diversion dilemma, particularly when a vehicle ahead brakes due to a critical situation with another vehicle, leading to suboptimal safety and comfort outcomes, especially in partially or highly automated driving scenarios.
Innovation Solution
The system uses radar data and sensor information to assess the traffic situation ahead, making intelligent decisions about diversion or braking, taking into account the reason for the vehicle's braking and the expected traffic conditions, and adapting steering and braking interventions accordingly to optimize safety and comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle diverts when the vehicle in front brakes, then collision risk with the vehicle in front is reduced, but collision risk with other road users may increase and comfort deteriorates due to unnecessary steering interventions
Solution Approach 1:
The system performs preliminary assessment of the traffic situation before executing diversion. It evaluates whether the vehicle in front is braking due to a critical situation by analyzing radar data and traffic patterns in advance, and only diverts when no other road users are expected to be affected, thus preventing harmful effects before they occur
Solution Approach 2:
The system continuously monitors traffic situation and provides feedback on the appropriateness of diversion decisions. It uses sensor data to assess the reasons for braking of the vehicle in front and adjusts diversion behavior accordingly, suppressing unnecessary steering interventions when they would create hazardous situations
2Ease of operation
If the vehicle returns to its lane after diverting, then normal driving path is restored, but safety may be compromised if the traffic situation has changed
Solution Approach 1:
Before assisting the vehicle to return to its lane, the system performs a preliminary assessment of the current traffic situation using radar and sensor data. It evaluates whether the lane return maneuver is safe by checking for other road users and critical situations that may have developed since the initial diversion decision
Solution Approach 2:
The system dynamically adjusts the decision to return to lane based on real-time traffic conditions. The return assistance is enabled or suppressed depending on the current safety assessment, making the system adaptive to changing traffic situations rather than following a fixed return protocol
3Loss of time
If steering interventions are applied early to assist lane return, then the vehicle returns to lane faster, but comfort deteriorates due to premature or unnecessary steering torques
Solution Approach 1:
The system performs preliminary evaluation of traffic conditions before initiating steering interventions for lane return. It assesses whether the situation warrants immediate return assistance or if the vehicle should maintain its current path, thereby avoiding premature steering torques that would compromise comfort
Solution Approach 2:
The system continuously monitors traffic situation and provides feedback on the timing of steering interventions. It adjusts the timing of lane return assistance based on real-time conditions, ensuring that steering torques are applied only when necessary and appropriate, thus maintaining driving comfort while achieving timely lane return
Data Source
AI summary
A method performs an at least partially automated maneuver. When an increased probability of collision of the vehicle with a vehicle in front is recognized, at least the decision to divert and/or the decision to return, i.e. the decision to return to the lane in which the vehicle was travelling before the diversion, is controlled as a function of a parameter of the traffic situation in front of the vehicle in front.